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AUTOMATIC OPTIMIZATION OF MACHINE LEARNING ALGORITHMS IN THE PRESENCE OF TARGET DATASETS

机译:在目标数据集存在下自动优化机器学习算法

摘要

Methods, systems and computer program products for transferring knowledge using machine learning techniques by automatically generating training datasets are provided. New training datasets based on target datasets are automatically generated and used in machine learning techniques to perform tasks on images. One of the main benefits is the possibility to transfer the knowledge learned in one domain to another domain in which extracting data or labeling images would be costly or simply infeasible. The methods and systems also provide image training sets based on image target sets which augments data in a more efficient way and improves the content of the training set and the prediction of the machine learning techniques.
机译:提供了用于通过自动生成训练数据集使用机器学习技术传输知识的方法,系统和计算机程序产品。 基于目标数据集的新训练数据集自动生成并用于机器学习技术,以在图像上执行任务。 主要优点之一是将在一个域中学习的知识转移到其中提取数据或标签图像的另一个域是昂贵的或只是不可行的域。 方法和系统还提供基于图像目标集的图像训练集,其以更有效的方式增强数据并提高训练集的内容和机器学习技术的预测。

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